Senior Software Engineer – machine learning (W/M/NB)

Job description

Ubisoft’s 19,000 team members, working across more than 30 countries around the world, are bound by a common mission to enrich players’ lives with original and memorable gaming experiences. Their dedication and talent have brought to life many acclaimed franchises such as Assassin’s Creed, Far Cry, Watch Dogs, Just Dance, Rainbow Six, and many more to come.

Ubisoft is an equal opportunity employer that believes diverse backgrounds and perspectives are key to creating worlds where both players and teams can thrive and express themselves. If you are excited about solving game-changing challenges, cutting edge technologies and pushing the boundaries of entertainment, we invite you to join our journey and help us create the unknown.

Ubisoft is natively data-driven: from the core of our games to our marketing actions, we’re leveraging data and algorithms.

Part of the Ubisoft Data Office, the role of the Consumer Data Domain is to leverage data to improve the consumer experience engaging them all along their journeys while making sure they feel safe and cared for.

Your role:

Build scalable machine learning systems to preserve the trust and safety of our users. Our motto is to never stop at the prototyping phase by combining research and engineering cycles with the objective to deploy production-grade products.

In that context, we’re looking for a Software Engineer with past practical experience, ideally in the field of machine learning.

Missions:

The archetypal missions for this position would be to:

·  Take ownership over the projects you build and push them ahead.
·  Design, prototype, build and maintain microservices & APIs that deliver data and models to teams and projects across Ubisoft.
·  Build pipelines and batch processes that move and transform data.
·  Build and manage a scalable infrastructure in the cloud.
·  Participate in the decisions and implementations to improve the platform’s quality while be a key member.
·  Participate in proof-of-concept projects to advance understanding of new data and ML related technologies, while furthering your own knowledge and skills as well.
·  Write, optimize, and produce high quality code that can run at scale, using modern best practices (MLOps).
·  In collaboration with data and machine learning engineers, ship models or prediction pipelines to production in our internal or public cloud infrastructures.

Whether you’re a software engineer who loves Machine Learning, or a research person that loves engineering, the key traits needed for this role are:

·  Experience in Software/Data engineering, or a related field with a solid experience either Python, Rust.
·  Experience building and interacting with REST APIS and familiarity with the principles of microservice architecture and APIs design.
·  Previous experience using cloud technology, Kubernetes, AWS/Azure.
·  Ability to navigate between the big picture and the micro details.
·  A capacity to work collaboratively, with good communication skills to discuss with colleagues.
·  Knowledge of Machine learning (& Deep Learning).
·  Experience deploying models to production.
·  If you have other experiences related to Databricks, DevOps, Big Data Processing, it will be considered an asset to the position.
·  Strong communication skills (English mandatory).

Ubisoft's perks

·  Profit Sharing, yearly company saving plan. 25 paid time off + 12 additional paid days off. 50% of your Navigo pass is paid by the company, lunch vouchers (9€/day), healthcare for you and your family, and lots of Ubisoft additional perks. Maternity leaves of 20 weeks, paternity/co-parental leaves of 7 weeks.
·  Our brand new office is located in Saint Mandé, (Metro line 1, Saint Mandé station). Gym available in the building. Ability to work remotely.

 

Additional Information

Ubisoft offers the same job opportunities to all, without any distinction of gender, ethnicity, religion, sexual orientation, social status, disability, or age. Ubisoft ensures the development of an inclusive work environment which mirrors the diversity of our gamers’ community.

 

Check out this guide to help you with your application, and learn about our actions to encourage more diversity and inclusion.